You are deploying a data analytics pipeline, and you want to implement IaC for the entire lifecycle of the GCP resources involved (Dataflow, Pub/Sub, BigQuery). Which GCP service allows you to template these resources while supporting custom Python logic?
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Correct answer: Deployment Manager with Python templates.
Why this is the answer
*Explanation: To implement Infrastructure as Code (IaC. for the entire lifecycle of GCP resources, including Dataflow, Pub/Sub, and BigQuery, while supporting custom Python logic, the ideal GCP service is **Deployment Manager with Python templates** (Option A. . Deployment Manager allows you to define and deploy resources using Python templates, making it suitable for IaC. Option B (Data prep for data transformation) is not related to IaC. Option C (Cloud Composer with Apache Airflow) focuses on orchestration, not IaC. Option D (TensorFlow Extended with Kubeflow) is more geared toward machine learning workflows. Option E (Cloud Functions with Datastore for state management) is not designed for IaC purposes.
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